Iterative point set registration for aligning scRNA-seq data

Amir Alavi; Ziv Bar-Joseph

doi:10.1371/journal.pcbi.1007939

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Open Access

Peer-reviewed

Research Article

Iterative point set registration for aligning scRNA-seq data

Amir Alavi,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

https://orcid.org/0000-0002-2868-0904

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Ziv Bar-Joseph

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

* E-mail: zivbj@cs.cmu.edu

Affiliations Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America, Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

https://orcid.org/0000-0003-3430-6051

⨯

Iterative point set registration for aligning scRNA-seq data

Amir Alavi,
Ziv Bar-Joseph

Published: October 27, 2020
https://doi.org/10.1371/journal.pcbi.1007939

About the Authors

Amir Alavi

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

https://orcid.org/0000-0002-2868-0904

Ziv Bar-Joseph

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

* E-mail: zivbj@cs.cmu.edu

Affiliations Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America, Machine Learning Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America

https://orcid.org/0000-0003-3430-6051

Competing Interests

The authors have declared that no competing interests exist.

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Sequence alignment
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Multiple alignment calculation
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Algorithms
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Pancreas
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Preprocessing
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Neural networks
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Semantics
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Transcriptome analysis
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